{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "#数据准备\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "x=np.random.uniform(-3,3,size=100)\n",
    "X=x.reshape(-1,1)\n",
    "y=0.5*x**2+x+2+np.random.normal(0,1,100)\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train,x_test,y_train,y_test=train_test_split(X,y,test_size=0.25)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "学习曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(75, 1)"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape#训练集有75行数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "train_score=[]\n",
    "test_score=[]\n",
    "for i in range(1,76):\n",
    "    lin_reg=LinearRegression()\n",
    "    lin_reg.fit(x_train[:i],y_train[:i])#分布给模型喂数据，从1条---75条\n",
    "    y_train_predict=lin_reg.predict(x_train[:i])\n",
    "    \"\"\"训练集的准确率\"\"\"\n",
    "    train_score.append(mean_squared_error(y_train[:i],y_train_predict[:i]))\n",
    "\n",
    "    y_test_predict=lin_reg.predict(x_test)\n",
    "    \"\"\"测试集的准确率\"\"\"\n",
    "    test_score.append(mean_squared_error(y_test,y_test_predict))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2807bdd4460>"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘图\n",
    "plt.plot([i for i in range(1,76)], np.sqrt(train_score),label=\"train-score\")\n",
    "plt.plot([i for i in range(1,76)], np.sqrt(test_score),label=\"test-score\")\n",
    "plt.legend()#添加图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_learning_curve(algo,x_train,x_test,y_train,y_test):\n",
    "    \"\"\"algo为机器学习用的算法，在使用前应该声明一个，例如:a=LinearRegression()\"\"\"\n",
    "    train_score=[]\n",
    "    test_score=[]\n",
    "    for i in range(1,76):\n",
    "        algo.fit(x_train[:i],y_train[:i])#分布给模型喂数据，从1条---75条\n",
    "        y_train_predict=algo.predict(x_train[:i])\n",
    "        \"\"\"训练集的准确率\"\"\"\n",
    "        train_score.append(mean_squared_error(y_train[:i],y_train_predict[:i]))\n",
    "\n",
    "        y_test_predict=algo.predict(x_test)\n",
    "        \"\"\"测试集的准确率\"\"\"\n",
    "        test_score.append(mean_squared_error(y_test,y_test_predict))\n",
    "    #绘图\n",
    "    #绘图\n",
    "    plt.plot([i for i in range(1,len(x_train)+1)], np.sqrt(train_score),label=\"train-score\")\n",
    "    plt.plot([i for i in range(1,len(x_train)+1)], np.sqrt(test_score),label=\"test-score\")\n",
    "    plt.legend()#添加图例\n",
    "    plt.axis([0,len(x_train)+1,0,4])\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#使用封装的函数\n",
    "a=LinearRegression()\n",
    "plot_learning_curve(a,x_train,x_test,y_train,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用2次多项式回归\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"发现误差稳定的地方更小，契合更好\"\"\"\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.linear_model import LinearRegression\n",
    "def poly_reg_2(degree):\n",
    "    return Pipeline([\n",
    "        (\"poly\",PolynomialFeatures(degree)),\n",
    "        (\"std_scaler\",StandardScaler()),\n",
    "        (\"lin_reg\",LinearRegression())\n",
    "    ])\n",
    "poly2_reg=poly_reg_2(degree=2)\n",
    "plot_learning_curve(poly2_reg,x_train,x_test,y_train,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "过拟合情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "poly2_reg=poly_reg_2(degree=20)\n",
    "plot_learning_curve(poly2_reg,x_train,x_test,y_train,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
